blogs
articles I’ve written on Medium, Substack and Dev.to.
- •Personal
Building a Privacy-First, Serverless Analytics Engine with Next.js and Redis
An architecture overview of a custom analytics system built for speed and privacy, featuring an Architecture Decision Record (ADR) and technical design patterns.
#NextJS#Redis#Analytics#WebDev#Architecture - •Substack
Seeing Like a State, Working Like a Human
I picked up Seeing Like a State by James C. Scott expecting a critique of governments and failed policies. It ended up feeling uncomfortably familiar. Not because I work in policy, but because I work with systems. The kind we design to make things cleaner, faster, and more predictable. The kind that
- •Substack
Outgrowing the Need to Prove
For a long time, I thought growing meant proving. If I could articulate something clearly, I felt like I was moving forward. If I could defend my position in a discussion without hesitation, I felt competent. Winning a room, even subtly, felt like momentum. Thanks for reading! Subscribe for free t
- •Substack
When Optionality Starts Expiring
I recently read a reflection written by a close friend, someone who thinks deeply and lives deliberately. It stayed with me, not because it said something new, but because it surfaced questions I have been postponing. At 27, life still feels open. There is enough time to course-correct, enough energ
- •Medium
Git-Aware .env Diff Tool using Go
Git-Aware .env Diff Tool using Go 🔍 The Problem: Invisible .env Drift We’ve all been there. You check out a new branch, deploy to staging, and suddenly nothing works. Logs point to missing API keys or unexpected ports. After digging, you realize someone changed a .env file on another branch. The c
#developer-productivity#developer-tools#platform-engineering#go-language#git - •Medium
Monitoring Microservices on EKS with OpenTelemetry, Prometheus, and Grafana: A Student’s Guide
Photo by Alex Kulikov on Unsplash Kubernetes enables you to orchestrate complex, distributed systems composed of containerized microservices. While powerful, this abstraction makes it harder to answer basic operational questions like: Is my service healthy? Which pod is consuming excess memory? Why
#ek#prometheus#opentelemetry#kubernetes#grafana - •Medium
Observability in Motion: OpenTelemetry + GCP for Real-Time Data Engineering with BART API
Photo by Cedric Letsch on Unsplash In the world of real-time data engineering, streaming pipelines are often treated as black boxes, you see data in and data out, but have little visibility into what happens in between. This lack of observability becomes critical when working with high-throughput, t
#google-cloud-platform#observability#bay-area#data-engineering#opentelemetry - •Medium
Building an Urban Mobility Data Platform: Addressing Last-Mile Connectivity in the DMV Region
Photo by Maria Oswalt on Unsplash The project aimed to bridge last-mile connectivity gaps in the DMV region by building a low-latency, geospatially-aware, multi-source analytics platform that integrates open transportation data, shared mobility trends, and socio-demographic context. This blog provid
- •Medium
Building a Real-Time Energy Data Lake on GCP: Lessons from Integrating 9 ISO Grid Systems
In today’s rapidly evolving energy landscape, having real-time access to grid performance data is no longer a luxury, it’s a necessity. While system operators like CAISO, ERCOT, and PJM publish data on demand, fuel mix, and prices, integrating these fragmented sources into a unified, analytics-ready
#energy-data-analytics#data-engineering#google-cloud-platform#infrastructure - •Medium
Choosing Between MIM and MSIS at UMD: A Detailed Comparison
McKeldin Mall at the University of Maryland Many students have reached out to me with questions about the Master of Information Management (MIM) and the Master of Science in Information Systems (MSIS) programs at the University of Maryland (UMD). Having been admitted to both, I wanted to share my pe
#ms-in-information-systems#information-systems#graduate-school#ms-in-us#university-of-maryland - •Dev.to
Code Practices every developer can follow!
Coding the right way! You always feel difficulty understanding what doctors write, right? Ever found a code on the internet but found it difficult to understand? Exception Handling : Code in a defensive manner. Always consider the worst case scenario. Think about input failures, event handling
- •Dev.to
Machine Learning meets DevOps: MLOps
Production ML Systems There's a lot more to machine learning. Implementation of an ML algorithm is just the tip of the iceberg. Machine learning systems are a part of a much larger ecosystem. Creating a well-performing machine learning model is just a small aspect of real-world machine learning so
#machinelearning#mlops#devops#python